Reference : Design principles study of ROS management and ROS-induced mitophagy with a kinetic model

	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Life sciences : Biochemistry, biophysics & molecular biology Physical, chemical, mathematical & earth Sciences : Mathematics
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/6934

Title :	Design principles study of ROS management and ROS-induced mitophagy with a kinetic model
Language :	English
Author, co-author :	Kolodkin, Alexey [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Ignatenko, Andrew [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Sangar, Vineet [Institute for Systems Biology - ISB]
	Simeonidis, Vangelis [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Peters, Bernhard [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Brady, Nathan [German Cancer Research Center]
	Price, Nathan [Institute for Systems Biology - ISB]
	Balling, Rudi [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	27-Sep-2013
Peer reviewed :	No
Audience :	International
Event name :	2013 BMES Annual Meeting
Event date :	September 25-28, 2013
Event place (city) :	Seattle
Event country :	USA
Keywords :	[en] ROS management ; kinetic model
Abstract :	[en] In vivo evidence demonstrates three fundamental interconnected adaptive survival mechanisms , which protect against excessive ROS that is generated during mitochondrial dysfunction: (i) autophagy/mitophagy, (ii) adaptive antioxidant response and (iii) NFkB signaling in cancer and neurodegeneration. We have been expanding a kinetic model which recapitulates the consensus understanding of the mechanisms responsible for cellular ROS – management system and performed modular analysis to analyze emergent behavior. We started with the simplest model and added stepwise new modules. We identify the qualitative role (certain emergent behavior) attributed to each module and thus understand the design principles of the system. We propose a detailed, mechanistic, kinetic model for studying how mutations relevant for diseases such as PD and cancer affect the emergent behavior of ROS management network.
Target :	Professionals
Permalink :	http://hdl.handle.net/10993/6934

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